from torch.utils.data.distributed import DistributedSampler


class NormalSampler(DistributedSampler):
    def __init__(self, cfg, *args, **kwargs):
        super().__init__(*args, **kwargs, shuffle=True)

        self.cfg = cfg

    def update_indices(self):
        pass